search embeding model support for watsonx models
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1 changed files with 4 additions and 7 deletions
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@ -1,7 +1,7 @@
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import copy
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from typing import Any, Dict
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from agentd.tool_decorator import tool
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from config.settings import EMBED_MODEL, clients, INDEX_NAME, get_embedding_model
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from config.settings import EMBED_MODEL, clients, INDEX_NAME, get_embedding_model, WATSONX_EMBEDDING_DIMENSIONS
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from auth_context import get_auth_context
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from utils.logging_config import get_logger
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@ -155,18 +155,15 @@ class SearchService:
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if not any(model_name.startswith(prefix + "/") for prefix in ["openai", "ollama", "watsonx", "anthropic"]):
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# Detect provider from model name characteristics:
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# - Ollama: contains ":" (e.g., "nomic-embed-text:latest")
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# - WatsonX: starts with "ibm/" or known third-party models
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# - WatsonX: check against known IBM embedding models
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# - OpenAI: everything else (no prefix needed)
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if ":" in model_name:
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# Ollama models use tags with colons
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formatted_model = f"ollama/{model_name}"
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logger.debug(f"Formatted Ollama model: {model_name} -> {formatted_model}")
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elif model_name.startswith("ibm/") or model_name in [
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"intfloat/multilingual-e5-large",
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"sentence-transformers/all-minilm-l6-v2"
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]:
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# WatsonX embedding models
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elif model_name in WATSONX_EMBEDDING_DIMENSIONS:
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# WatsonX embedding models - use hardcoded list from settings
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formatted_model = f"watsonx/{model_name}"
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logger.debug(f"Formatted WatsonX model: {model_name} -> {formatted_model}")
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# else: OpenAI models don't need a prefix
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